课题基金 / 基金详情

EAGER: Measuring Real World Application Performance on Next-Generation Computing Systems

EAGER: Measuring Real World Application Performance on Next-Generation Computing Systems
EAGER:测量下一代计算系统上的实际应用程序性能
批准号:
1842623
负责人:
Robert Henschel
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2021-03-31

项目摘要

项目成果

Robert Henschel的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The project proposes to create a benchmark suite using real-world scientific applications. The benchmark suite will be developed jointly with the High-Performance Group (HPG) of the Standard Performance Evaluation Corporation (SPEC), a non-profit organization with the goal of creating and maintaining standardized benchmarks to evaluate performance and energy efficiency for the newest generation of computing systems. The project will leverage SPEC infrastructure to ensure continuous maintenance of the benchmark suite, as well as support for result submission, review, and publication on the SPEC website. Furthermore, the project will use the published results of the benchmark suite to create a public ranking of High-Performance Computing (HPC) systems deployed across the world. Partnership with SPEC will ensure that the results of the project will be disseminated to industry.The creation of a new real-world application benchmark suite jointly with SPEC/HPG, as well as the development of performance metrics suitable for application benchmarks, will lead to improved HPC system design and enable the better understanding of how next-generation computing systems must evolve. In addition to evaluating HPC systems, the proposed application benchmark suite will also enable the comparative performance evaluation of novel software and hardware ecosystems. Moreover, the proposed work builds on NSF investment in domain science application development by including these applications in the suite. Importantly, the project will be an opportunity to bring the benchmark community together to develop and define performance and throughput metrics for real world scientific applications. Finally, the project will deliver a benchmark suite that will be freely available to non-profit organizations and sustained by SPEC.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: A Fast Hierarchical Algorithm for Computing High Dimensional Truncated Multivariate Gaussian Probabilities and Expectations
  • 批准号:
    1821142
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2018
  • 负责人:
    Robert Henschel
  • 依托单位:
海外基金